WO2022183020A1 - Rapprochement de valeurs de mesure commerciales pour dispositifs multimédia à données de chemin de non retour - Google Patents

Rapprochement de valeurs de mesure commerciales pour dispositifs multimédia à données de chemin de non retour Download PDF

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Publication number
WO2022183020A1
WO2022183020A1 PCT/US2022/017947 US2022017947W WO2022183020A1 WO 2022183020 A1 WO2022183020 A1 WO 2022183020A1 US 2022017947 W US2022017947 W US 2022017947W WO 2022183020 A1 WO2022183020 A1 WO 2022183020A1
Authority
WO
WIPO (PCT)
Prior art keywords
impressions
addressable
data
reach
households
Prior art date
Application number
PCT/US2022/017947
Other languages
English (en)
Inventor
David J. Kurzynski
Kimberly I. Gilberti
Kristin MEEHAN
Samantha M. Mowrer
Jiji SADASIVAKURUP
Lisa G. ROSSI
Ramy VASQUEZ
Original Assignee
The Nielsen Company (Us), Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by The Nielsen Company (Us), Llc filed Critical The Nielsen Company (Us), Llc
Publication of WO2022183020A1 publication Critical patent/WO2022183020A1/fr
Priority to US18/454,371 priority Critical patent/US20230401602A1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0242—Determining effectiveness of advertisements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0242—Determining effectiveness of advertisements
    • G06Q30/0246—Traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04H—BROADCAST COMMUNICATION
    • H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
    • H04H60/61—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
    • H04H60/64—Arrangements for services using the result of monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 for providing detail information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/24—Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
    • H04N21/2407—Monitoring of transmitted content, e.g. distribution time, number of downloads
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25808—Management of client data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data

Definitions

  • the reconciled C3-C7 metrics further includes obtaining reference data that indicates which devices were served a linear advertisement during a time that a program was broadcast, and which devices were served an addressable advertisement during that same time in the program broadcast.
  • the reconciled C3-C7 metrics includes using both the program viewership data collected for the national panel and the reference data indicating which devices presented which advertisement as inputs to the modified C3-C7 metric.
  • the example audience metrics calculator circuitry 136 identifies respondents that received addressable advertisements and respondents that received linear advertisements for the RPD and ACR media devices from the combined and analyzed panel data, the return path data, the Smart TV data, and the reference advertisement data.
  • the example audience metrics calculator circuitry 136 calculates audience metrics (e.g., impressions, audience sizes, etc.) for RPD and ACR media devices in a telecast that were addressable advertisements and linear advertisements.
  • the example reach and frequency calculator circuitry 206 determines a non-RPD/non-ACR reach based on the intab household ratio and the RPD/ACR reach (e.g., number of impressions from unique audience members in the RPD/ACR impressions data). The example reach and frequency calculator circuitry 206 multiplies the intab household ratio and the RPD/ACR reach to determine the non- RPD/non-ACR reach. In some examples, the example reach and frequency calculator circuitry 206 sums/combines the determined SOW intab metrics, impressions, and reaches across RPD/ACR households and non-RPD/non-ACR households.
  • FIG. 14 is a block diagram of an example implementation of the processor circuitry 1312 of FIG. 13.
  • the processor circuitry 1312 of FIG. 13 is implemented by a general purpose microprocessor 1400.
  • the general purpose microprocessor circuitry 1400 executes some or all of the machine readable instructions of the flowchart of FIG. 12 to effectively instantiate the circuitry of FIG. 2 as logic circuits to perform the operations corresponding to those machine readable instructions.
  • the circuitry of FIG. 2 is instantiated by the hardware circuits of the microprocessor 1400 in combination with the instructions.
  • the microprocessor 1400 may implement multi-core hardware circuitry such as a CPU, a DSP, a GPU, an XPU, etc.
  • Payment for the delivery, sale, and/or license of the software may be handled by the one or more servers of the software distribution platform and/or by a third party payment entity.
  • the servers enable purchasers and/or licensors to download the machine readable instructions 1332 from the software distribution platform 1605.
  • the software which may correspond to the example machine readable instructions 1200 of FIG. 12, may be downloaded to the example processor platform 1300, which is to execute the machine readable instructions 1332 to implement the example non-return path adjuster circuitry 138 of FIGS. 1 and/or 2.
  • one or more servers of the software distribution platform 1605 periodically offer, transmit, and/or force updates to the software (e.g., the example machine readable instructions 1332 of FIG. 13) to ensure improvements, patches, updates, etc., are distributed and applied to the software at the end user devices.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Marketing (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Graphics (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)

Abstract

Des procédés, un appareil, des systèmes et des articles de fabrication pour le rapprochement de valeurs de mesure commerciales pour des dispositifs multimédias à données de chemin de non retour sont divulgués. Un appareil donné à titre d'exemple a pour but d'estimer des impressions adressables non rapportées pour une pluralité de ménages non rapportés pour une publicité adressable sur la base d'un rapport d'ajustement d'impressions entre des impressions adressables reportables desservies et des impressions adressables rapportées exposées incluses dans des données d'impressions associées à des ménages rapportés. L'appareil décrit à titre d'exemple consiste en outre à calculer au moins l'une d'une portée ou d'une fréquence pour la publicité adressable afin de prendre en compte des dispositifs de non-rapport, la portée ou la fréquence déterminée sur la base des impressions adressables rapportées exposées, des impressions adressables non rapportées estimées et du rapport de réglage d'empreintes.
PCT/US2022/017947 2021-02-25 2022-02-25 Rapprochement de valeurs de mesure commerciales pour dispositifs multimédia à données de chemin de non retour WO2022183020A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US18/454,371 US20230401602A1 (en) 2021-02-25 2023-08-23 Reconciliation of commercial measurement ratings for non-return path data media devices

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163153764P 2021-02-25 2021-02-25
US63/153,764 2021-02-25

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US18/454,371 Continuation US20230401602A1 (en) 2021-02-25 2023-08-23 Reconciliation of commercial measurement ratings for non-return path data media devices

Publications (1)

Publication Number Publication Date
WO2022183020A1 true WO2022183020A1 (fr) 2022-09-01

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2022/017947 WO2022183020A1 (fr) 2021-02-25 2022-02-25 Rapprochement de valeurs de mesure commerciales pour dispositifs multimédia à données de chemin de non retour

Country Status (2)

Country Link
US (2) US20220270127A1 (fr)
WO (1) WO2022183020A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11252460B2 (en) * 2020-03-27 2022-02-15 The Nielsen Company (Us), Llc Signature matching with meter data aggregation for media identification

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080249834A1 (en) * 2007-04-03 2008-10-09 Google Inc. Adjusting for Uncertainty in Advertisement Impression Data
US20120124619A1 (en) * 2007-04-03 2012-05-17 Google Inc. Log processing
US20190370849A1 (en) * 2011-07-13 2019-12-05 Comscore, Inc. Analyzing effects of advertising
US20200265465A1 (en) * 2017-08-04 2020-08-20 Intersection Parent, Inc. Systems, methods and programmed products for dynamically tracking delivery and performance of digital advertisements in electronic digital displays
US20200294069A1 (en) * 2019-03-15 2020-09-17 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from different marginal ratings and/or unions of marginal ratings based on impression data

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8973023B1 (en) * 2012-02-29 2015-03-03 The Nielsen Company (Us), Llc Methods and apparatus to determine audience duplication in cross-media campaigns
US9852163B2 (en) * 2013-12-30 2017-12-26 The Nielsen Company (Us), Llc Methods and apparatus to de-duplicate impression information
US9402111B2 (en) * 2014-09-17 2016-07-26 Ispot.Tv, Inc. Television audience measurement method and apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080249834A1 (en) * 2007-04-03 2008-10-09 Google Inc. Adjusting for Uncertainty in Advertisement Impression Data
US20120124619A1 (en) * 2007-04-03 2012-05-17 Google Inc. Log processing
US20190370849A1 (en) * 2011-07-13 2019-12-05 Comscore, Inc. Analyzing effects of advertising
US20200265465A1 (en) * 2017-08-04 2020-08-20 Intersection Parent, Inc. Systems, methods and programmed products for dynamically tracking delivery and performance of digital advertisements in electronic digital displays
US20200294069A1 (en) * 2019-03-15 2020-09-17 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from different marginal ratings and/or unions of marginal ratings based on impression data

Also Published As

Publication number Publication date
US20230401602A1 (en) 2023-12-14
US20220270127A1 (en) 2022-08-25

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